System for Automated Infrared Image Processing Based on Neural Network Technologies

Abstract

The article describes the main problems that non-destructive control experts encounter in processing and analyzing infrared (IR) images obtained using thermographic cameras: noisiness, information redundancy, excessive data volume, etc. A gradual process of automated digital processing and analysis of images on the basis of a software system is considered, which allows not only overcoming the drawbacks of the raw data described above, but also drawing a conclusion about the state of the object based on the obtained image independently. The ability to make expert decision is provided by a neural network component in a system on the basis of Kohonen network used for cluster image analysis. There are the examples of system operation applied to IR images of the lining of solid domestic waste (SDW) incinerator. The use of such systems allows reducing workload of an expert in processing large volumes of data and reducing the probability of errors due to such effect as vision "blurring".

Application of the Machine Vision Technology and Infrared Thermography to the Detection of Hoof Diseases in Dairy Cows: A Review

“…Resolution of Thermal Images [64] 60 × 80 (0.005 MP) [65,66] 160 × 120 (0.019 MP) [67][68][69][70][71][72][73][74][75][76][77][78][79][80] 320 × 240 (0.077 MP) [63,81,82] 320 × 256 (0.085 MP) [83,84] 336 × 256 (0.086 MP) [85,86] 384 × 288 (0.111 MP) [59][60][61][62][87][88][89][90][91][92][93][94] 640 × 480 (0.307 MP) [95,96] 640 × 512 (0.328 MP)…”

“…In contrast, both Gang et al and Wu chose the same activation function, the standard (logistic) sigmoid function, for the hidden and output layers [104,115]. Kananadze used a Kohonen network containing fully connected layers, an input layer with a number of neurons equal to the number of image pixels, and an output layer with five neurons, to analyze the clusters in the image; the softmax function was chosen as the activation function [73]. The learning of the network is performed without a teacher and its main advantages include invariance to rotation and displacement.…”